Fine-tuning sequence-to-expression models on personal genome and transcriptome data
Abstract
The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and transcriptome data. This code was used to produce the results in our paper, please refer to GitHub for the most up-to-date code (https://github.com/ni-lab/finetuning-enformer).
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 March 2026